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Metabolomics analysis of cervical cancer, cervical intraepithelial neoplasia and chronic cervicitis by H-1 NMR spectroscopy

机译:H-1 NMR光谱法对子宫颈癌,子宫颈上皮内瘤变和慢性宫颈炎的代谢组学分析

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Metabolomics profiles of serum samples from women with chronic cervicitis, cervical intraepithelial neoplasia (CM), and cervical cancer were characterized by proton nuclear magnetic resonance ell NMR). These spectral profiles were subjected to partial least-squares discriminant analysis (PLS-DA), and good discriminations between cancer and non-cancer groups (chronic cervicitis and CIN) were achieved by multivariate modeling of serum profiles. The main metabolites contributing to these discriminations, as highlighted by multivariate analysis and confirmed by spectral integration, were formate, tyrosine, beta-glucose, inositol, glycine, carnitine, glutamine, acetate, alanine, valine, isoleucine, and very-low-density lipoprotein (VLDL). Metabolomics analysis for chronic cervicitis, CIN, and cervical cancer is significant, which give a systemic metabolic response of these female diseases. The systemic metabolic response may be used to identify the potential biomarkers for the diseases.
机译:慢性宫颈炎,宫颈上皮内瘤变(CM)和宫颈癌女性血清样品的代谢组学特征通过质子核磁共振(NMR)表征。对这些光谱图进行偏最小二乘判别分析(PLS-DA),并通过血清图谱的多变量建模对癌症和非癌症组(慢性宫颈炎和CIN)进行了良好的区分。多元分析强调并经光谱积分证实,促成这些区分的主要代谢物是甲酸盐,酪氨酸,β-葡萄糖,肌醇,甘氨酸,肉碱,谷氨酰胺,乙酸盐,丙氨酸,缬氨酸,异亮氨酸和极低密度脂蛋白(VLDL)。慢性宫颈炎,CIN和宫颈癌的代谢组学分析意义重大,可以对这些女性疾病进行全身性代谢反应。全身代谢反应可用于鉴定疾病的潜在生物标记。

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